| SoK: Benchmarking Poisoning Attacks and Defenses in Federated Learning | Feb 6, 2025 | BenchmarkingData Poisoning | CodeCode Available | 2 |
| FedDefender: Client-Side Attack-Tolerant Federated Learning | Jul 18, 2023 | Federated LearningKnowledge Distillation | CodeCode Available | 1 |
| Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning | Apr 25, 2023 | Contrastive LearningFederated Learning | CodeCode Available | 1 |
| FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients | Jul 19, 2022 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| FedRecAttack: Model Poisoning Attack to Federated Recommendation | Apr 1, 2022 | Federated Learningmodel | CodeCode Available | 1 |
| BEAS: Blockchain Enabled Asynchronous & Secure Federated Machine Learning | Feb 6, 2022 | Anomaly DetectionBIG-bench Machine Learning | CodeCode Available | 1 |
| ARFED: Attack-Resistant Federated averaging based on outlier elimination | Nov 8, 2021 | Data PoisoningFederated Learning | CodeCode Available | 1 |
| FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective | Oct 26, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Byzantine-robust Federated Learning through Collaborative Malicious Gradient Filtering | Sep 13, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning | Aug 23, 2021 | Federated LearningMisconceptions | CodeCode Available | 1 |
| Robust Federated Learning with Attack-Adaptive Aggregation | Feb 10, 2021 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| Ditto: Fair and Robust Federated Learning Through Personalization | Dec 8, 2020 | FairnessFederated Learning | CodeCode Available | 1 |
| Analyzing Federated Learning through an Adversarial Lens | Nov 29, 2018 | Federated LearningModel Poisoning | CodeCode Available | 1 |
| How To Backdoor Federated Learning | Jul 2, 2018 | Anomaly DetectionData Poisoning | CodeCode Available | 1 |
| RepuNet: A Reputation System for Mitigating Malicious Clients in DFL | Jun 24, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Federated Learning-Based Data Collaboration Method for Enhancing Edge Cloud AI System Security Using Large Language Models | Jun 22, 2025 | Edge-computingFederated Learning | —Unverified | 0 |
| Trojan Horse Hunt in Time Series Forecasting for Space Operations | Jun 2, 2025 | Model PoisoningTime Series | —Unverified | 0 |
| Performance Guaranteed Poisoning Attacks in Federated Learning: A Sliding Mode Approach | May 22, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework | Apr 24, 2025 | Model Poisoning | —Unverified | 0 |
| A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning | Apr 17, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks | Mar 30, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Not All Edges are Equally Robust: Evaluating the Robustness of Ranking-Based Federated Learning | Mar 12, 2025 | AllFederated Learning | —Unverified | 0 |
| Poisoning Bayesian Inference via Data Deletion and Replication | Mar 6, 2025 | Bayesian InferenceModel Poisoning | —Unverified | 0 |
| SLVR: Securely Leveraging Client Validation for Robust Federated Learning | Feb 12, 2025 | Federated LearningModel Poisoning | —Unverified | 0 |
| Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning | Feb 8, 2025 | Anomaly DetectionFederated Learning | CodeCode Available | 0 |
